59 research outputs found
Refutation of K2-256b and Rejection of 130 Unconfirmed Transiting Planet Candidates with Gaia DR3 NSS
Much of the exoplanet discovery efforts over the next several years are
largely tasked with finding candidates for the upcoming Ariel mission. This is
a role that TESS is well-suited for. Radial velocity follow-up is needed to
confirm the planetary nature of these systems, as many of its planet candidates
turn out to be eclipsing binary systems with small stellar secondaries. Focused
Doppler follow-up to obtain these radial velocities is expensive. The Gaia
mission's radial velocity measurements on its target stars are not adequately
precise for a general search for orbiting planetary companions. While the RV
data has yielded thousands of spectroscopic binary systems, only an extreme
minority of these reach into the planetary-mass regime. Nonetheless, they do
detect eclipsing binary systems that can masquerade as transiting hot Jupiters.
In this work, we compare the Gaia DR3 Non-Single Stars catalogue to the current
planet candidate list from TESS and determine several of these candidate
planetary systems are actually eclipsing binaries. We find eclipsing
binaries among the TOI and EPIC lists that do not appear to be in the
literature, including the previously statistically validated planet K2-256 b.
This work illustrates the usefulness of \textit{Gaia} to exoplanet validation
efforts and will help guide follow-up efforts for discovering new transiting
planets for the Ariel mission by avoiding misdirecting valuable telescope time
PND12 COST-EFFECTIVENESS OF RASAGILINE VERSUS ROPINIROLE EXTENDED RELEASE IN DELAYING LEVODOPA IN THE TREATMENT OF EARLY PARKINSON'S DISEASE IN THE UNITED STATES
The use of a mixed Weibull model in occupational injury analysis
Chung, M.K., Wu, S-C.H. and Herrin, G.D. (1986). The use of a mixed Weibull model in occupational injury analysis. Journal of Occupational Accidents, 7: 239-250.This article describes a mixed Weibull model which is proposed as an alternative model of occupational injury analysis. This model assumes that a worker will suffer injuries during employment with a probability [gamma] (0 < [gamma] < 1). The conditional failure time model is defined to be a Weibull distribution. Given the model, the relationship between minor and major injury incidents is examined using the injury data of 1,004 workers in a south-western industrial plant. The efficacy of the model is apparent in that it provides a fraction of long-term survivors as well as injury rate for those ever suffering an injury.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/26278/1/0000363.pd
Adesão à medicação em pacientes com doença de Parkinson atendidos em ambulatório especializado
Manpower development: education and training; [a bibliography.].
Mode of access: Internet.RFOJ: BibAuthor corporate affiliation: National Highway Traffic Safety Administration, Technical Reference Division, Washington, D.C.Contains citations from Highway Safety Literature, 67-01 through 77-03Subject code: QDSubject code: SCMSubject code: YE
PND1 INDIRECT COMPARISON OF ADVERSE EVENTS AND DROPOUT RATES FOR EARLY PARKINSON'S DISEASE (PD) MONOTHERAPY TRIALS: PRAMIPEXOLE, ROPINIROLE AND RASAGILINE
PND24 TREATMENT OF ADVANCED PARKINSON'S DISEASE IN THE UNITED STATES: A COST-UTILITY MODEL
PND34 DISEASE BURDEN AND TREATMENT PATTERNS OF PARKINSON'S DISEASE IN A LONG TERM CARE SETTING
Grass leaf silicification: Natural selection for an inducible defense against herbivores
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